<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Illumination Inconsistency Sleuthing for Exposing Fauxtography and Uncovering Composition Telltales in Digital Images

Name: Illumination Inconsistency Sleuthing for Exposing Fauxtography and Uncovering Composition Telltales in Digital Images
Creator: Carvalho, Tiago
Keywords: Features and image descriptors, Other applications, Machine learning and data mining, Pattern recognition, Document analysis, Applications, Computer vision, Image analysis and processing

appsOther research productkeyboard_double_arrow_right Other ORP type 01 Jan 2015 Spain English

Authors: Carvalho, Tiago;

Illumination Inconsistency Sleuthing for Exposing Fauxtography and Uncovering Composition Telltales in Digital Images

- Summary
- Subjects
- Metrics

Abstract

Think about how capture device's technology is improved day after day. Add to this condition that digital image manipulation tools are increasingly powerful and simple to use. Finally, when a malicious user is added at this equation, the result is an astonishing number of digital images forgeries spread out in the internet as fast as possible. This work present four different methods to fight against image splicing, an special kind of image forgery. Each one of the methods, present significant contributions to state of the art.

Advisor and Co-Advisor: Anderson Rocha and Helio Pedrini. Date and location of PhD thesis defense: 21 March 2014, University of Campinas. National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), Sao José dos Campos, Brazil

Country

Spain

Related Organizations

Autonomous University of Barcelona
Spain

Keywords

Features and image descriptors, Other applications, Machine learning and data mining, Pattern recognition, Document analysis, Applications, Computer vision, Image analysis and processing

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Found an issue? Give us feedback

Average